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IPS122 Elise C. et al.
5. Concluding remarks
Although the Lab is still in its early days, it is clear that the opportunities
for new synergies with production units have been positively welcomed
throughout the official statistics service ecosystem. The creation of the Lab is
proving to be promising in terms of acquiring, maintaining and disseminating
data science knowledge. What’s more, it is already mobilising people within
our organisation, and helping to inspire and motivate the next generation of
our statisticians.

References
1. Combes, S and Bortoli, C: Apports de Google Trends pour prévoir la
conjoncture : des pistes limitées, Note de conjoncture, March 2015
2. Combes, S., Bortoli, C. and Renault, T.:” Nowcasting payroll employment
with traditional media content”, New Techniques and Technologies for
Statistics conference, March 2017.
3. de Bellefon, M.-P., Givord, P., Sakarovitch, B., Vanhoff, M. : “Allô, où es-tu
? Estimer la population résidente à partir de données de téléphonie
mobile, une première exploration, in revision in Economics and Statistics,
2018
4. Galiana, L. and Sakarovitch, B. and Smoreda, Z.: “Understanding socio-
spatial segregation in French cities with mobile phone data”, 2018,
presented at this conference.
5. Vanhoof M., Combes S., de Bellefon M.-P.: “Mining Mobile Phone to
recognize Urban Areas” in A. Petrucci and R. Verde, eds., SIS 2017
Statistics and Data Science: New Challenges, New Generations.
Proceedings of the Conference of the Italian Statistical Society (Florence:
Firenze University Press, 2017) 1005-1012.

Annex: Ongoing projects
Exploring new data
- Student evaluation log files: more information to assess student response
strategies [with the Education ministry statistical service, and IT department
of INSEE]
- Mobile phone data - residential population, social segregation [with
Orange Labs, ESSnet Big data] (cf 4.3) - Branch agreements: What protection
for employees? A textmining approach [with master’s students] - Satellite
Data and city heat islands [with the INSEE geographic methods unit]
- New panel data about professional careers of both wage-earners and
entrepreneurs [with INSEE social studies Directorate]
Applying new methods
- Les champs de Sirene: Automatic detection of employer in census [with IT
department and hackathon participants] (cf 4.1)

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